def main():
# Load configurations, rules, arena and teams
config = botbowl.load_config("bot-bowl-iii")
config.competition_mode = False
config.pathfinding_enabled = False
ruleset = botbowl.load_rule_set(config.ruleset)
arena = botbowl.load_arena(config.arena)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
config.competition_mode = False
config.debug_mode = False
# Play 100 games
game_times = []
wins = 0
draws = 0
n = 100
is_home = True
tds_away = 0
tds_home = 0
for i in range(n):
if is_home:
away_agent = botbowl.make_bot('random')
home_agent = botbowl.make_bot('my-a2c-bot')
else:
away_agent = botbowl.make_bot('my-a2c-bot')
home_agent = botbowl.make_bot("random")
game = botbowl.Game(i,
home,
away,
home_agent,
away_agent,
config,
arena=arena,
ruleset=ruleset)
game.config.fast_mode = True
print("Starting game", (i + 1))
game.init()
print("Game is over")
winner = game.get_winner()
if winner is None:
draws += 1
elif winner == home_agent and is_home:
wins += 1
elif winner == away_agent and not is_home:
wins += 1
tds_home += game.get_agent_team(home_agent).state.score
tds_away += game.get_agent_team(away_agent).state.score
print(f"Home/Draws/Away: {wins}/{draws}/{n-wins-draws}")
print(f"Home TDs per game: {tds_home/n}")
print(f"Away TDs per game: {tds_away/n}")
def main():
# Setup a game
config = botbowl.load_config("bot-bowl-iii")
ruleset = botbowl.load_rule_set(config.ruleset)
arena = botbowl.load_arena(config.arena)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
agent_home = Agent("home agent", human=True)
agent_away = Agent("home agent", human=True)
game = botbowl.Game(1,
home,
away,
agent_home,
agent_away,
config,
arena=arena,
ruleset=ruleset)
game.init()
# Enable forward model
game.enable_forward_model()
step_id = game.get_step()
# Force determinism?
# game.set_seed(1) # Force determinism
# Take some actions
game.step(Action(ActionType.START_GAME))
game.step(Action(ActionType.HEADS))
game.step(Action(ActionType.RECEIVE))
# Kicking team is random if you didn't set the seed
print("Home is kicking: ", game.get_kicking_team() == game.state.home_team)
print_available_action_types(game)
# Revert state and save the steps
steps = game.revert(step_id)
# Print available actions: Should only contain START_GAME
print_available_action_types(game)
# step the game forward again
game.forward(steps)
print("Home is kicking: ", game.get_kicking_team() == game.state.home_team)
print_available_action_types(game)
def main():
# Load configurations, rules, arena and teams
config = botbowl.load_config("bot-bowl-iii")
config.competition_mode = False
config.pathfinding_enabled = True
# config = get_config("gym-7.json")
# config = get_config("gym-5.json")
# config = get_config("gym-3.json")
ruleset = botbowl.load_rule_set(
config.ruleset, all_rules=False) # We don't need all the rules
arena = botbowl.load_arena(config.arena)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
num_games = 10
wins = 0
tds = 0
# Play 10 games
for i in range(num_games):
home_agent = botbowl.make_bot('scripted')
home_agent.name = "Scripted Bot"
away_agent = botbowl.make_bot('random')
away_agent.name = "Random Bot"
config.debug_mode = False
game = botbowl.Game(i,
home,
away,
home_agent,
away_agent,
config,
arena=arena,
ruleset=ruleset)
game.config.fast_mode = True
print("Starting game", (i + 1))
start = time.time()
game.init()
end = time.time()
print(end - start)
wins += 1 if game.get_winning_team() is game.state.home_team else 0
tds += game.state.home_team.state.score
print(f"won {wins}/{num_games}")
print(f"Own TDs per game={tds/num_games}")
def run_game(nbr_of_games, enable_forward_model):
config = botbowl.load_config("gym-11")
config.fast_mode = True
ruleset = botbowl.load_rule_set(config.ruleset)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
away_agent = Agent("Human 1", human=True, agent_id=1)
home_agent = Agent("Human 2", human=True, agent_id=2)
seed = 0
random_agent = botbowl.make_bot('random')
random_agent.rnd = np.random.RandomState(seed)
for _ in range(nbr_of_games):
game = Game(seed, home, away, home_agent, away_agent, config)
game.init()
if enable_forward_model:
game.enable_forward_model()
while not game.state.game_over:
game.step(random_agent.act(game))
import botbowl
config = botbowl.load_config("bot-bowl-iii")
config.competition_mode = False
config.pathfinding_enabled = False # disabled for speed
ruleset = botbowl.load_rule_set(config.ruleset,
all_rules=False) # We don't need all the rules
arena = botbowl.load_arena(config.arena)
home = botbowl.load_team_by_filename("human", ruleset)
away = botbowl.load_team_by_filename("human", ruleset)
def test_random_comp():
home_agent = botbowl.make_bot("random")
away_agent = botbowl.make_bot("random")
comp = botbowl.Competition(home_agent, away_agent, home, away, config,
ruleset, arena)
comp.run()
def test_illegal_actions(capsys):
home_agent = botbowl.make_bot("random")
away_agent = botbowl.ai.bots.IllegalActionBot("illegal")
comp = botbowl.Competition(home_agent, away_agent, home, away, config,
ruleset, arena)
comp.run()
out, err = capsys.readouterr()
assert err == ""